Evidence map›Paper›PMID 29177843›Full record

ArticleOecologia2018

Stabilising selection on immune response in male black grouse Lyrurus tetrix.

Carl D Soulsbury, Heli Siitari, Christophe Lebigre

Abstract read
In one paragraph

Article in Oecologia, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. How behavioural ageing affects infectious disease.Neuroscience and biobehavioral reviews · 2023
    Review
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Carl D SoulsburySchool of Life Sciences, University of Lincoln, Brayford Pool, Lincoln, UK. csoulsbury@lincoln.ac.uk.
Heli SiitariDepartment of Biological and Environmental Sciences, University of Jyväskylä, P.O. Box 35, 40014, Jyväskylä, Finland.
Christophe LebigreIFREMER, Centre Brest, 29820, Plouzané, France.

Funding

Suomen Akatemia 7211271
6 · The paper itself

Abstract

Illnesses caused by a variety of micro- and macro- organisms can negatively affect individuals' fitness, leading to the expectation that immunity is under positive selection. However, immune responses are costly and individuals must trade-off their immune response with other fitness components (e.g. survival or reproductive success) meaning that individuals with intermediate response may have the greatest overall fitness. Such a process might be particularly acute in species with strong sexual selection because the condition-dependence of male secondary sexual-traits might lead to striking phenotypic differences amongst males of different immune response levels. We tested whether there is selection on immune response by survival and reproduction in yearling and adult male black grouse (Lyrurus tetrix) following an immune challenge with a novel antigen and tested the hypothesis that sexual signals and body mass are honest signals of the immune response. We show that yearling males with highest immune response to these challenges had higher survival, but the reverse was true for adults. Adults with higher responses had highest mass loss and adult males with intermediate immune response had highest mating success. Tail length was related to baseline response in adults and more weakly in yearlings. Our findings reveal the complex fitness consequences of mounting an immune response across age classes. Such major differences in the direction and magnitude of selection in multiple fitness components is an alternative route underpinning the stabilising selection of immune responses with an intermediate immune response being optimal.

Indexed as

GalliformesReproductionAnimalsHorsesMalePhenotypeEcological immunologyELISAImmunocompetanceLife history theoryStabilising selection

Identifiers

PMID29177843
PMCPMC5799332

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.